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Estimates for Order Statistics in Terms of Quantiles

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Let X1, . . .,Xn be independent nonnegative random variables with cumulative distribution functions F1, F2, . . . , Fn satisfying certain (rather mild) conditions. We show that the median of kth smallest order statistic of the vector (X1, . . . , Xn) is equivalent to the quantile of order (k − 1/2)/n with respect to the averaged distribution \( F=\frac{1}{n}\sum \limits_{i=1}^n{F}_i \).

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Correspondence to A. E. Litvak.

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Published in Zapiski Nauchnykh Seminarov POMI, Vol. 457, 2017, pp. 265–275.

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Litvak, A.E., Tikhomirov, K. Estimates for Order Statistics in Terms of Quantiles. J Math Sci 238, 523–529 (2019). https://doi.org/10.1007/s10958-019-04254-5

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  • DOI: https://doi.org/10.1007/s10958-019-04254-5

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